Relationship between anxiety, depression, sex, obesity, and internet addiction in Chinese adolescents: A short-term longitudinal study

The comorbidity mechanism of problematic internet use and depression among Chinese college students: A cross-lagged panel network analysis

Problematic internet use (PIU) and depression usually co-occur and are common among college students. According to network theory, it may be attributed to the interplay of symptoms that connect these two mental health problems. However, most studies have failed to examine complex and subtle connections at the symptom level and have not clarified how PIU and depression symptoms are intercorrelated, which symptoms serve as the source of comorbidity (i.e., the central symptoms), and whether such a comorbidity mechanism would change with higher grades. To explore these questions, this study examined four contemporaneous networks and three cross-lagged panel networks, visualizing the symptoms as nodes and the connections between symptoms as edges. A total of 2,420 college students (Mage = 18.35, SD = 0.84; 67.98 % girls) completed four annual surveys. Overall, the results of contemporaneous networks and cross-lagged panel networks indicated that (a) PIU and depression symptoms are intercorrelated; (b) the core symptoms responsible for comorbidity mostly belonged to PIU, and (c) the comorbidity mechanism would change with time. These findings explain the dynamic relation between PIU and depression and identify possible primary symptoms that comorbidity programs can mitigate at different stages of the college years.

Internet addiction among adolescents during the COVID-19 pandemic: Associations with sociodemographic and psychological distress

Background

The COVID-19 pandemic has had tremendous implications for billions of adolescents worldwide due to school closures, forcing students to embrace internet usage for daily tasks. Uncontrolled use of the internet among adolescents makes them vulnerable to internet addiction (IA). This study aims to determine the prevalence of IA among adolescents and assess its association with sociodemographic factors, smartphone use, and psychological distress during the pandemic.

Method

A cross-sectional self-administered online survey was conducted among students aged 13-17 from May 15th, 2021, until May 30th, 2021, using the Malay version of the Internet Addiction Test (MVIAT), the Depression, Anxiety, and Stress Scale (DASS-21), and the Coronavirus Impacts Questionnaires, as well as a sociodemographic information form. The data was analyzed with IBM SPSS Statistics version 23.

Results

A total of 420 adolescents participated in the survey. The majority of them (70.7%) were female, with a mean age of 15.47 years (±1.49 years old). About 45.5% of the respondents were classified as internet addicted users. The Chi-square test analysis showed that age (p = 0.002), smartphone usage (p = 0.010), rate of midnight use (p < 0.001), frequency (p < 0.001), duration (p < 0.001) of device usage, and presence of depression, anxiety, and stress (p < 0.001) were all significantly associated with IA. Multiple logistic regression showed age (aOR = 1.16, 95% CI [1.00-1.35], p = 0.048), smartphone usage (aOR =3.52, 95% CI [1.43-8.67], p = 0.006), mild or moderate depression (aOR = 2.43, 95% CI [1.36-4.34], p = 0.003), severe or extremely severe stress (aOR = 6.41, 95% CI [2.18-18.82], p = 0.001) were significantly related to IA.

Conclusions

Late adolescence, the use of smartphones, and the presence of psychological distress like depression, and stress were potentially associated with IA. Wise use of smartphones and early identification of any psychological distress among adolescents are warranted, especially during the pandemic.

Internet addiction and depressive symptoms in adolescents: joint trajectories and predictors

Objective

Internet addiction and depressive symptoms are common mental health problems in adolescents. Due to the comorbidity of Internet addiction and depressive symptoms, their mutual relationship influences their developmental trajectories over time. Thus, this study aimed to identify the joint trajectories of Internet addiction and depressive symptoms, and examined the individual, family, and school antecedents of these trajectories among Chinese adolescents.

Methods

Using a battery of self-report scales, three waves of data collection were conducted in a Chinese adolescent sample (N = 1,301). The co-developmental trajectories of Internet addiction and depressive symptoms were extracted by adopting parallel-process latent class growth modeling (PPLCGM). Multinomial logistic regression was performed to assess predictive factors.

Results

Four unique joint trajectory classes were detected: the Health Group (n = 912, 70.1%), Comorbidity-Worsening Group (n = 85, 6.5%), Asymptomatic-Comorbid Risk Group (n = 148, 11.4%), and Prominent Depressive Symptoms-Remission Group (n = 156, 12.0%). Individual, family, and school factors (e.g., gender, positive youth development, family function, academic performance) significantly predicted the membership in these distinct co-developmental trajectories.

Conclusion

Our findings illustrate that the joint development of Internet addiction and depressive symptoms among adolescents presents a heterogeneous distribution, which could better inform prevention and intervention strategies since each co-developmental trajectory may represent unique experience for adolescents who need targeted treatment. Various individual, family, and school factors are important predictors that play different roles in distinguishing the joint trajectories of Internet addiction and depressive symptoms during this critical developmental transition period.

Evaluation of Internet Addiction and Relational Variables Among Nursing Students in Turkey During the COVID-19 Pandemic

It is known that individuals use the internet more to escape from the psychological problems they encounter in daily life during the pandemic. Besides, it is also known that individuals with personality traits such as neuroticism and extraversion might be prone to internet addiction due to poor communication skills. It is important to determine the relationship between the internet usage characteristics and the mental state of nursing students so that students can provide better quality health services in their education and professional processes. The present study aimed to determine the relationship between internet addiction and personality traits, stress, and obsessive-compulsive symptoms among nursing students during the pandemic. This study includes 528 nursing students. The Young's Internet Addiction Test (YIAT), the Vancouver Obsessive-Compulsive Inventory (VOCI), the Eysenck Personality Inventory (EPI), and the Perceived Stress Scale (PSS) were used for data collection between August and October 2021. It was found that there was a statistically significant and positive correlation between the students' YIAT mean scores and the EPI neuroticism sub-dimension, VOCI all sub-dimensions, and PSS mean scores (p < .05). In addition, the mean scores of the PSS and EPI were predictors of the YIAT total score (R = .550, R2 = .233, p < .05). Considering these results, it is necessary to prevent the negative effects of the COVID-19 pandemic on the psychosocial health of individuals. Psychological counseling can be offered to provide protective factors during the pandemic period.

Social anxiety mediates between victimization experiences and internet addiction among adolescents: results from propensity score matching

Background

Previous research has indicated that Victimization Experiences (VE) may be linked to a heightened likelihood of developing psychological symptoms and Internet Addiction (IA) among adolescents. However, the precise mechanism through which VE contributes to IA in adolescents remains uncertain. This study aimed to investigate whether Social Anxiety (SA) serves as a mediation between VE and IA, utilizing the framework of General Strain Theory.

Methods

A cross-sectional survey among 11 middle schools or high schools in Macao was conducted from October to December 2022. Respondents in the victimized group and non-victimized group were 1:1 paired using Propensity Score Matching (PSM) to control the potential confounding factors.

Results

A total of 1,089 questionnaires were valid for analysis and 311 pairs were generated through PSM. Respondents in the victimized group reported significantly higher IA than those in non-victimized group (23.5% vs. 12.5%, p < 0.001) after PSM treatment. Multivariate logistic regression analysis showed that VE (p = 0.015, OR = 1.750, 95% CI = 1.115 to 2.746, E-value = 2.90) and SA (p < 0.001, OR = 1.052, 95% CI = 1.030 to 1.074, E-value = 1.29) were the predictors of IA. The model successfully classified 81.7% of cases overall (R 2 N = 0.133). Further analysis indicated that SA mediates between VE and IA (Z = 3.644, p < 0.001).

Conclusion

This study revealed the potential mediation effect of SA on the link between VE and IA. By acknowledging the mediating influence of SA, researchers and practitioners can develop more accurate and effective strategies to mitigate Internet Addiction among adolescents.

Parent-adolescent conflict and problematic internet use among Chinese adolescents: the mediating role of depression and the moderating role of school climate

BACKGROUND

Problematic Internet use (PIU) may lead adolescents to physical, emotional, social, or functional impairment due to the risky, excessive, or impulsive internet use manner. How do the experiences of adolescents influence them using the internet in a problematic manner? The answer to this question is the key to preventing and intervening PIU of adolescents. To address this question, we focus on the interactions among family (parent-adolescent conflict), school (school climate), and individual factors (PIU, depression), exploring the influence factors of PIU.

METHODS

A moderated mediation model was constructed to explore the relationship between variables. Using a two-wave longitudinal design with a six-month interval between timepoints, this study collected data from 801 Chinese adolescents (411 boys, Mage = 14.68) by questionnaires. Path analysis was employed to test the model and participants' age, sex and baseline were controlled.

RESULTS

Parent-adolescent conflict at Time 1 (T1) was positively related to PIU at Time 2 (T2) in adolescents. Depression at T2 mediated the relationship between parent-adolescent conflict at T1 and PIU at T2. School climate at T2 significantly moderated the mediation effect of depression on the relationship between parent-adolescent conflict at T1 and PIU at T2. Specifically, positive school climate could significantly weaken the negative effect of depression on PIU for adolescents with low level of depression.

CONCLUSIONS

The present study reveals that parent-adolescent conflict leads to PIU in adolescents through depression whilst the school climate moderates the impacts of depression on PIU. This adds further evidence regarding the significance of systematically and consistently incorporating family and school in the alleviating of problem behaviors displayed by teens.

The relationship between physical activity and Internet addiction among adolescents in western China: a chain mediating model of anxiety and inhibitory control

This study aims to investigate the mediating effect of anxiety and inhibitory control in the relationship between physical activity and Internet addiction (IA) among adolescents. A total of 951 adolescents from western China completed a self-report survey assessing physical activity, anxiety, inhibitory control, and IA. Descriptive analysis, correlation analysis, and mediation analysis were conducted using SPSS software and the Process plug-in. Controlling for age, gender, and only child status, the findings revealed a negative association between physical activity and anxiety, inhibitory control, and IA. Moreover, anxiety were positively correlated with inhibitory control and IA. Additionally, anxiety exhibited a positive association with inhibitory control. Notably, physical activity directly and negatively predicted IA in adolescents, while also indirectly predicting it through anxiety and inhibitory control. This study contributes to a deeper understanding of the mechanisms that underlie the complex effects of physical activity on IA among adolescents.

Clinical differences between outpatients with and without internet addiction and emotional disorders: a prospective naturalistic outcome study

Background/Objective

as internet use becomes increasingly ingrained in contemporary society, internet addiction (IA) has emerged as a global public health concern. There is ongoing debate regarding whether IA represents a distinct psychological disorder or a secondary manifestation of other existing disorders. This study aimed to examine the pathological relationship between IA and emotional disorders (ED).

Method

this study compared pre-treatment characteristics and treatment process of three groups of patients (N=1292) in a naturalistic treatment setting: IA only, ED only, and comorbidity of IA and ED.

Results

the IA only group differed from the other groups by reporting the highest levels of life satisfaction, adaptive emotion regulation, as well as risk behavior urges at intake. In addition, the IA only group displayed the lowest level of depressive and anxiety symptoms throughout the treatment.

Conclusion

our findings contribute to a better understanding of the discreteness of IA as a potential psychological disorder and inform more effective treatment strategies for IA and its comorbid conditions.

Connecting chronic stress and anxiety: a multi-dimensional perspective

Studies show a connection between anxiety and stress, but with little differentiation between different domains of stress. In this article, we utilize a multi-dimensional approach to better understand the relationship between different chronic stress domains and anxiety. This will allow researchers to identify and address those areas of stress that are most relevant with regard to anxiety. We used data from a sub sample of the LIFE-Adult-Study (n = 1085) to analyze the association between nine different areas of chronic stress (Trier Inventory for Chronic Stress, TICS) and anxiety (General Anxiety Disorder 7, GAD-7), controlling for sociodemographic variables, personality, and social support. There was a significant and positive association between Work Overload, Pressure to Perform, Social Tensions, Social Isolation, Chronic Worrying, and anxiety. After including the control variables, only Work Overload and Chronic Worrying remained significant. By focusing on Work Overload and Chronic Worrying researchers, practitioners, and policy makers can help to mitigate anxiety and related health problems in the population in an efficient way.

Statistical analysis of mental influencing factors for anxiety and depression of rural and urban freshmen

The freshmen stage is a high incidence period for psychological issues. With the increasing gap between urban and rural areas in China, the mental problems of rural freshmen are more prominent in recent years due to the huge contrast of campus life with their growth environment and other reasons. The concern for the mental well-being of both rural and urban freshman students prompted our comprehensive five-year study (2018-2022) on psychological issues in a group of 12,564 first-year students from dozens of public universities in Shandong province. The investigation employed PPS (probability proportional to size) sampling and was conducted near the the end of the first semester. Using the data gathered, we analyzed and compared the indicators of psychological problems in rural and urban freshmen by Duncan's Multiple Range Test. We also conducted a canonical correlation analysis and pathway analysis to examine the psychological factors that contribute to anxiety and depression in both rural and urban freshmen. According to the findings, rural freshmen exhibit significantly higher levels of anxiety and depression than their urban counterparts. Inferiority, obsession, and internet addiction were identified as the primary influencing factors of anxiety and depression in both rural and urban freshmen. Social phobia was found to be a significant influencing factor for anxiety in rural freshmen, while bigotry was identified as a specific influencing factor for urban freshmen. Furthermore, the results of the path analysis suggest that anxiety plays a crucial role as a mediating factor between the main influencing factors and depression. These results substantially extend former research in this area and have important implications for the development of effective intervention strategies to address anxiety and depression. According to these results, policymakers should assess and intervene of anxiety and depression as a whole, and provide mental health education according to main effect factors of freshmen from rural and urban areas. Detailed policy recommendations are in discussion and conclusion.

Associations between problematic internet use, life satisfaction, and deliberate self-harm among Chinese adolescents: A multi-centered longitudinal study

INTRODUCTION

Problematic Internet use (PIU), which is associated with deliberate self-harm (DSH), has become a common problem among adolescents. Life satisfaction (LS) may be able to mitigate the negative influences of PIU and DSH. But the longitudinal associations among them are yet to be well-researched.

METHODS

A longitudinal study with three-wave data collection involving 6092 adolescents was carried out in China. PIU, LS, and DSH were assessed using the Young Internet Addiction Test, the Satisfaction with Life Scale, and the Deliberate Self-Harm Inventory Nine-Item Version, respectively. A cross-lagged model was used to analyze the longitudinal interactions between them. Generalized Estimating Equations were adopted to identify their influential factors.

RESULTS

The prevalence of single DSH behaviors from wave 1 to wave 3 was 5.04%, 5.00%, and 4.67%, and the repeated DHS from wave 1 to wave 3 was 2.9%, 3.2%, and 3.4%, respectively. Bidirectional longitudinal predictive associations were revealed between PIU and LS (p＜0.001), and LS and DSH (p＜0.001). DSH could longitudinally predict PIU (p＜0.001). Gender and age were associated with PIU, LS, and DSH (p＜0.001), and PIU was influenced by ethnicity (p＜0.001).

CONCLUSION

PIU and LS, LS and DSH were associated bidirectionally. Adolescents with more severe DSH behaviors were inclined to become addicted to the Internet, and adolescents with a history of DSH had a higher risk of recurring DSH. Parents, schools, and administrators need to improve the LS of adolescents, with a particular focus on older, female adolescents.

New form of addiction: An emerging hazardous addiction problem of milk tea among youths

BACKGROUND

Milk tea has experienced tremendous growth in popularity in China, especially among youths. The primary objective of this study is to investigate whether milk tea addiction may have a detrimental impact on youths' mental health, such as anxiety, depression, and suicidal ideation. Additionally, we aim to explore its potential role in influencing various mental health outcomes.

METHODS

A large-scale, cross-sectional study was conducted from 5281 college students in Beijing, China. Participants self-reported depressive, anxiety symptoms, suicidal ideation, and milk tea addiction symptoms including milk tea consumption, dependence, guilty feelings, withdrawal, tolerance, unable to stop, craving, and intention to stop.

RESULTS

Nearly 77 % of participants consumed milk tea at least 6-11 cups in the last year. The confirmatory factor analysis (CFA) supported the one-factor structure of the milk tea addiction scale, developed according to DSM-5 substance use guidelines. Moreover, we found that a higher level of milk tea addiction was significantly associated with a higher risk of depression (b = 0.24, p < 0.001), anxiety (b = 0.21, p < 0.001), and suicidal ideation (b = 0.06, p < 0.001), respectively, after controlling confounding variables, among youths consuming milk tea. The possible mediating role of milk tea addiction between loneliness feelings and mental health outcomes was further addressed.

CONCLUSIONS AND IMPLICATIONS

Our findings highlighted that milk tea consumption might lead to addiction, and it is associated with depression, anxiety, and suicidal ideation. Current findings can assist policymakers in developing regulations such as restricting advertising, providing psycho-education, establishing food hygiene standards for such a prosperous youth-dominant consumption industry while protecting their mental health.

Problematic Internet Use in Early Adolescents: Gender and Loneliness Differences in a Latent Growth Model

Purpose

Based on the Cognitive-Behavioral model and the Interaction of Person-Affect-Cognition-Execution model, this study examined the developmental trajectory of problematic Internet use (PIU) in early adolescents and explored whether there were gender differences in the onset level and rate of development of this developmental trajectory, and tested whether developmental changes in loneliness could have an impact on the developmental trajectory of problematic Internet use.

Participants and Methods

This longitudinal study collected data on PIU and loneliness from 296 early adolescents (Mage=11.65, SD=0.58) in four waves. The development of PIU in adolescents and the effects of gender and loneliness development on PIU development were examined using a latent growth model.

Results

The results revealed that individuals' PIU development showed a nonlinear latent growth model, with PIU significantly higher than 0 in grade 6 and its growth rate slowing down as PIU increased. Individuals' PIU at low starting levels developed more rapidly later. Boys had higher initial levels of PIU but their PIU developed and increased at the same rate as girls'. Both the initial value and slope of loneliness had a significant effect on the initial value and slope of boys' and girls' PIU.

Conclusion

Interventions for PIU in early adolescents also need to consider loneliness at the same time, and intervention groups can focus on individuals with low initial levels of PIU, boys, and individuals with high levels of loneliness.

School Burnout and Mind Wandering among Adolescents: The Mediating Roles of Internet Addiction and the Moderating Role of Resilience

School burnout is a worldwide issue that affects adolescents at every academic level. Despite the significant impact of this issue on adolescents' mental health and academic performance, few studies have examined its influence on mind wandering and its underlying mechanisms. This research endeavors to address this knowledge gap by examining the mediating role of Internet addiction in the relationship between school burnout and mind wandering and the moderating role of resilience among 2329 Chinese adolescents (Mage = 14.9 years, SD = 1.73) through an online questionnaire assessment. Participants completed measures of school burnout, Internet addiction, resilience, and mind wandering, which were analyzed using structural equation modeling (SEM) with SPSS 23.0 and Mplus 8.0. Results demonstrated that school burnout was positively linked with mind wandering, while Internet addiction mediated this relationship. Additionally, resilience moderated the association between Internet addiction and mind wandering. These findings significantly improve our comprehension of the consequences of mind wandering and offer valuable insights into possible intervention approaches for adolescents experiencing this phenomenon.

Longitudinal network relations between symptoms of problematic internet game use and internalizing and externalizing problems among Chinese early adolescents

OBJECTIVE

There has been growing evidence of comorbidity between problematic internet game use and internalizing and externalizing problems in young people. However, little is known about the directionality and gender differences in these longitudinal relations at the symptoms level in the framework of network theory among youth. This study estimated the longitudinal relations between the symptoms of problematic internet game use, internalizing and externalizing problems, and the gender differences of these relations in Chinese youth using cross-lagged panel network modeling (CLPN).

METHODS

A sample of 1269 Chinese youth (M age = 10.35 years) participated in this study semi-annually at two time points. CLPN analysis was used to calculate the network model of problematic internet game use and internalizing and externalizing problems to explore bridge symptoms and find transmission pathways between problematic internet game use and internalizing and externalizing problems.

RESULTS

The CLPN revealed significant gender differences. For boys, depressed mood, which leads to relationships turning sour in order to play online games, bridges the relations between internalizing symptoms and problematic internet game use. For girls, irritability is the central predictive symptom, causing a range of problems related to problematic internet game use, which can, in turn, lead to fights or feelings of worthlessness. However, the effect sizes for the pathways between problematic internet game use and internalizing/externalizing problems were relatively weak, and the comorbidity between their relations should not be over-interpreted.

CONCLUSIONS

The current findings provide new evidence for understanding the directional relationship between the central characteristics of problematic internet game use and internalizing and externalizing problems in boys and girls. Gender-specific interventions targeting the central symptoms of internalizing and externalizing problems and problematic internet game use can help mitigate the vicious cycle of comorbidity among adolescents.

Birth cohort changes in anxiety levels among primary school students in China during 1995-2019: A cross-temporal meta-analysis

To investigate birth cohort changes in anxiety levels among primary school students in China, we conducted a cross-temporal meta-analysis of 126 studies (N = 109,957) reporting the anxiety levels among primary school students in China during 1995-2019 using the Mental Health Diagnostic Test (MHT); higher MHT scores indicated higher anxiety. The results showed that: (1) The MHT scores for five types of mental health problems (social anxiety, lonely tendency, physical symptoms, terror tendency, and impulsive tendency) and the total MHT score were significantly negatively correlated with the data-collection year, indicating that the anxiety levels among primary school students in China decreased over time. (2) The MHT score for learning anxiety was significantly positively correlated with the data-collection year, indicating that the learning anxiety levels of primary school students in China increased over time. (3) The overall MHT score did not show significant gender differences, but gender-wise varying trends were observed in the types considered.

Prevalence and associated factors of internet addiction among Chinese adolescents: association with childhood trauma

Introduction

Internet addiction (IA) is common among adolescents and may have severe consequences. This study aimed to investigate the prevalence and factors associated with IA among middle school students of Hunan Province, China. Relevance between IA and childhood trauma was also explored.

Methods

One thousand six hundred ten students were enrolled in this cross-sectional study. Data collected included demographics; internet addiction (revised-Chen internet addiction scale); childhood trauma (CTQ-SF); depression, anxiety, and stress symptoms (DASS-21); suicidal behaviors, as well as non-suicidal self-injury (NSSI). Cramer's V analysis, univariable logistic regression and multivariable logistic regression were used for associations and identifying independent relevance of IA, respectively.

Results

The prevalence of IA was 12.8%. Cramer's V analysis showed that IA was associated with emotional abuse, emotional and physical neglect, NSSI, suicidal behaviors, stress, anxiety and depressive symptoms, physical disorder history. Regression analysis showed that IA was independently associated with emotional neglect (OR = 3.062, 95% CI: 2.083, 4.501, p < 0.001); physical neglect (OR = 2.328; 95% CI: 1.590, 3.409, p < 0.001); depressive symptoms (OR = 2.218, 95% CI: 1.467, 3.353, p < 0.001) nationality (OR = 1.888, 95% CI: 1.034, 3.447, p = 0.006) and age (OR = 1.253, 95% CI: 1.066, 1.471, p = 0.006).

Discussion

IA is common among middle school students. Attention should be paid to students with childhood trauma since they have a higher risk for IA, which may increase the risk for suicidal behaviors.

Association Between Family Atmosphere and Internet Addiction Among Adolescents: The Mediating Role of Self-Esteem and Negative Emotions

Objectives: Family atmosphere is a significant predictor of internet addiction in adolescents. Based on the vulnerability model of emotion and the compensatory internet use theory, this study examined whether self-esteem and negative emotions (anxiety, depression) mediated the relationship between family atmosphere and internet addiction in parallel and sequence. Methods: A total of 3,065 Chinese middle school and high school students (1,524 females, mean age = 13.63 years, SD = 4.24) participated. They provided self-reported data on demographic variables, family atmosphere, self-esteem, anxiety, depression, and internet addiction through the Scale of Systemic Family Dynamic, Self-Esteem Scale, Self-Rating Anxiety Scale, Self-Rating Depression Scale, and Internet Addiction Test, respectively. We employed Hayes PROCESS macro for the SPSS program to scrutinize the suggested mediation model. Results: It revealed that self-esteem, anxiety, and depression mediated the relationship between family atmosphere and internet addiction in parallel and sequence. The pathway of family atmosphere-self-esteem-internet addiction played a more important role than others. Conclusion: The present study confirmed the mediating role of self-esteem and negative emotions between family atmosphere and internet addiction, providing intervention studies with important targeting factors.

Internet addiction and mental health disorders in high school students in a Peruvian region: a cross-sectional study

OBJECTIVES

To determine the association between internet addiction disorder (IAD) and anxiety and depressive symptomatology in high school students in two private schools in Chiclayo, Peru, during the COVID-19 pandemic.

MATERIALS AND METHODS

Analytical cross-sectional investigation of 505 adolescents from two private schools. The dependent variables were anxiety and depressive symptomatology, measured with the Beck Adapted Depression Questionnaire (BDI-IIA) and the Beck Anxiety Inventory (BAI), respectively. The main independent variable was IAD, measured with the Internet Addiction Test instrument(IATI). Prevalence ratios (PR) and 95% confidence intervals (95%CI) were estimated.

RESULTS

The average age was 14.16 years and 54.9% were women. 22.2% and 3.2% presented mild and moderate IAD; respectively. 9.3% presented severe anxiety and 34.3% severe depressive symptomatology. In the simple regression, adolescents with mild, moderate and severe IAD presented 19% (PR = 1.19; 95%CI: 1.05-1.35), 25% (PR = 1.25; 95%CI: 1.02-1.53) and 53% (PR = 1.47; 95% CI: 1.47-1.60) higher prevalence of depressive symptomatology; however, this association was not maintained in the multiple model. Anxiety increased 196% in adolescents with severe IAD (PR = 2.96; 95%CI: 1.86-4.71).

CONCLUSION

 We found that 2, 1, and 3 out of 10 students presented IAD, depressive symptomatology, and anxiety, respectively. We did not find an association between IAD and depressive symptomatology, but we did find an association with anxiety. Among the factors associated with the development of depressive symptomatology were the male sex, the presence of eating disorders, subclinical insomnia, using devices for more than 2 h, and using the Internet for academic activities. About anxiety, the associated factors are the female sex, the presence of eating disorders, subclinical insomnia, and the use of the Internet as social interaction. We recommend implementing counseling programs in view of the imminent introduction of the Internet as a pillar in education.

Internet addiction and residual depressive symptoms among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic: a network analysis perspective

To assess the inter-relationships between residual depressive symptoms (RDS) and Internet addiction (IA) using network analysis among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. RDS and IA were assessed using the Patient Health Questionnaire-9 (PHQ-9) and the Internet Addiction Test (IAT), respectively. Central symptoms and bridge symptoms in the network model were examined. A total of 1,454 adolescents met the study criteria and were included in the analyses. The prevalence of IA was 31.2% (95% CI: 28.8%-33.6%). In the network analysis, the nodes IAT15 ("Preoccupation with the Internet"), PHQ2 ("Sad mood"), and PHQ1 ("Anhedonia") were the most central symptoms in the IA-RDS network model. Bridge symptoms included IAT10 ("Sooth disturbing about your Internet use"), PHQ9 ("Suicide ideation"), and IAT3 ("Prefer the excitement online to the time with others"). Additionally, PHQ2 ("Sad mood") was the main node linking "Anhedonia" to other IA clusters. Internet addiction was common among clinically stable adolescents with major psychiatric disorders during the COVID-19 pandemic. Core and bridge symptoms identified in this study could be prioritized as targets for the prevention and treatment of IA in this population.

Symptom relationships between internet addiction and anxiety across primary and middle school students during the Omicron lockdown

During the Omicron pandemic, students in Shenzhen took classes at home via the internet, which could lead to internet addiction (IA) symptoms, and anxiety is often considered an important risk factor for IA. There are several different developmental stages within adolescence. However, no studies have explored the interaction between IA and anxiety at the symptom level using a longitudinal design stratified by age. A total of 2744 students completed the questionnaire 50 days after starting the online classes (T1) and 50 days after they returned to school (T2). A cross-lagged panel network model was used to describe the structure of the comorbidity network. With the help of bootstrapping, the Mann-Whitney U test was used to examine the differences between primary school students' and middle school students' networks. The results found that there is a bidirectional interaction between IA and anxiety, and anxiety plays a dominant role. Feeling afraid is the bridge symptom between IA and anxiety. IA did not show developmental stage differences, but anxiety did. These findings extend the model of compensatory internet use and suggest that, when alleviating IA symptoms in adolescents, attention should be given to their possible comorbid anxiety symptoms, especially in middle school students.

Inferiority feelings and internet addiction among Turkish University students in the context of COVID-19: The mediating role of emotion dysregulation

Emotion dysregulation is a major predictor of increased internet addiction. However, the psychological experiences linked to increased internet addiction through higher emotion dysregulation are poorly understood. The aim of this study was to investigate if inferiority feelings, an Adlerian construct theorized to be rooted in childhood, are associated with increased Internet addiction through emotion dysregulation. Another objective of the study was to determine if the internet use characteristics of young adults changed during the pandemic. A conceptual model was validated statistically using the PROCESS macro with a survey method involving 443 university students living in different regions of Turkey. The results support the significance of all three effects of inferiority feelings on internet addiction, namely the total (B = 0.30, CI = [0.24, 0.35]), the direct (B = 0.22, BootCI = [0.15, 0.29]), and the indirect (B = 0.08, BootCI = [0.04, 0.12]). In other words, inferiority feelings are associated with a greater level of internet addiction both directly and indirectly through greater emotion dysregulation. Moreover, the overall prevalence of Internet addiction was 45.8% among the participants and that of severe Internet addiction was 22.1%. Almost 90% of the participants reported an increase in their recreational Internet use during the pandemic, with an average daily increase of 2.58 h (SD = 1.49), the significance of which was supported by the t-test results. The results provide important insights for parents, practitioners, and researchers on addressing the internet addiction problem among young adults living in Turkey or other countries that are similar to Turkey.

Depression mediates the relationship of experiential avoidance and internet addiction: a cross-lagged mediation analysis

Previous research has identified the contemporaneous association between experiential avoidance, depression, and Internet addiction. However, the mechanisms underlying this association are not well acknowledged. The present study aimed to use cross-lagged panel modeling to examine whether depression mediates the relation between experiential avoidance and Internet addiction and whether gender plays a role in the relation. A total of 2731 participants (934 male, Meanage=18.03) were recruited from a university at the baseline study (December 2019). Data was collected at all 3 time points across one year (2019?2020), using 6-month intervals. Experiential avoidance, depression and Internet addiction were assessed using the Acceptance and Action Questionnaire-II (AAQ-II), the Beck Depression Inventory-II (BDI-II) questionnaire, and Young?s Internet Addiction Test (IAT), respectively. Cross-lagged panel models were used to evaluate the longitudinal association and the mediating effect. Multigroup analyses were conducted to examine gender differences in the models.Cross-lagged models indicated that experiential avoidance significantly predicted subsequent depression, and depression significantly predicted subsequent Internet addiction. Furthermore, mediation analyses showed that depression has a mediating effect in the relation between experiential avoidance and Internet addiction (? = 0.010, 95%CI[0.003, 0.018], p>0.001). Multigroup analyses demonstrated that the pattern of structural relations stayed consistent across gender. The findings indicated that experiential avoidance is indirectly related to Internet addiction through depression, suggesting that treatments targeted at reducing experiential avoidance could help relieve depression and thus decrease the risk of Internet addiction.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-023-04511-6.

Social anhedonia affects the trajectory of internet addiction in the college students: A latent growth curve analysis

BACKGROUND/AIM

There is growing awareness that anhedonia plays a critical role in the development of Internet Addictions (IA). However, anhedonia is a multidimensional construct and different aspects of anhedonia may exert different effects on IA. This study was designed to distinguish the effects of social anhedonia and physical anhedonia on the developmental trajectory of IA among college students.

METHODS

A total of 3577 Chinese college freshmen (M_age = 18.01, SD = 0.77; 65.4 % girls) participated in a 2-year, four waves longitudinal tracking study. The latent growth curve model (LGCM) was constructed to examine the impacts of different types of anhedonia on the developmental trajectories of IA. Gender was also added to the conditional LGCM as time-invariant variable.

RESULTS

The results of unconditional LGCM showed a U-shape developmental trajectory of IA. Social anhedonia significantly affected the intercept (β = 0.468, p < 0.001) and significantly affected the linear slope (β = -0.259, p < 0.05), but not the quadratic slope (β = 0.293, p > 0.05). Physical anhedonia was not significantly associated with intercept, linear slope and quadratic slope. There was no sex difference in both initial levels and change rate of IA.

CONCLUSIONS

Social anhedonia while not physical anhedonia has prediction effect on IA. College students with high levels of social anhedonia experienced high levels of IA at baseline, and performed a slower rate in downward trend of IA. The findings of the current study provide implications for prevention of IA in college students.

Effects of resourcefulness on internet game addiction among college students: The mediating role of anxiety and the moderating role of gender

Introduction

The mechanism of internet game addiction is unclear. Whether anxiety mediates between resourcefulness and internet game addiction and whether gender affect its mediation role have not been studied previously.

Methods

A total of 4,889 college students from a college in southwest China were included in this study to complete the investigation, in which three questionnaires were used for evaluation.

Results

Pearson's correlation analysis indicated a remarkable negative correlation between resourcefulness with internet game addiction and anxiety, as well as a significant positive correlation between anxiety and this addiction. The structural equation model confirmed the mediation role of anxiety. The multi-group analysis confirmed the moderating role of gender in the mediation model.

Discussion

These findings have advanced the results of existing studies, indicating the buffering effect of resourcefulness on internet game addiction and revealing the potential mechanism of this relationship.

Zhongyong thinking (doctrine of the mean) and internet addiction: The mediation of maladaptive cognition and the moderation of subject

Based on the cognitive-behavioral model of pathological internet use, this study explored the relationship between zhongyong thinking (doctrine of the mean) and internet addiction, and examined the mediation of maladaptive cognition and the moderation of subject. Convenience sampling was used to select 1,518 college students for the questionnaire. The participants were 15-26 years old (M = 19.77; SD = 1.45), including 776 male and 742 female students. The results showed that zhongyong thinking was significantly negatively correlated with maladaptive cognition (r = -0.19, p < 0.001) and internet addiction (r = -0.14, p < 0.001). Maladaptive cognition was significantly positively correlated with internet addiction (r = 0.46, p < 0.001). After controlling for age, gender, zhongyong thinking negatively predicted internet addiction (B = -0.06, p < 0.05), maladaptive cognition positively predicted Internet addiction (B = 0.45, p < 0.001). Zhongyong thinking negatively predicted maladaptive cognition (B = -0.19, p < 0.001). Moreover, the bias-corrected bootstrapping mediation test indicated that the process by which zhongyong thinking predicted Internet addiction through maladaptive cognition was significant, indirect effect = -0.08, SE = 0.01, 95% CI = [-0.11, -0.06]. Subject has no moderating effect on the relationship between zhongyong thinking and maladaptive cognition. The interaction between zhongyong thinking and subject was not a significant predictor of maladaptive cognition (B = 0.05, p > 0. 05). The present results suggest that zhongyong thinking as a traditional Chinese wisdom can still play an important role in regulating young people's behavior in the digital age.

The longitudinal association between internet addiction and depressive and anxiety symptoms among Chinese adolescents before and during the COVID-19 pandemic

Background

The COVID-19 pandemic and related prevention policies, such as home quarantine or online courses, could increase the risks of experiencing internet addiction and mental health problems among Chinese adolescents. There is a lack of longitudinal evidence to show the association between internet addiction symptoms and psychological consequences (e.g., depressive and anxiety symptoms).

Objective

This study aimed to explore the association between internet addiction and depressive and anxiety symptoms before and during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

An effective sample of 7,958 Chinese adolescents was recruited for this two-wave longitudinal survey conducted over a six-month interval. All participants completed two-wave surveys before and during the COVID-19 pandemic. A longitudinal cross-lagged path model was used to analyze the associations between internet addiction and depressive and anxiety symptoms after controlling for four covariates (i.e., age, sex, minority, and COVID-19 influence).

Results

Higher depressive and anxiety symptoms before COVID-19 significantly predicted severe internet addiction during COVID-19. Results showed a significant bidirectional relationship between internet addiction and depressive symptoms. Furthermore, the prevalence of internet addiction displayed an increasing trend over the two waves. Conversely, a reduced prevalence of anxiety and depressive symptoms was observed over the two waves.

Conclusion

This current study provided valuable evidence that psychological problems and internet addiction significantly influenced each other before and during the COVID-19 outbreak. Consequently, the presence of psychological problems before and during the COVID-19 outbreak could indicate internet addiction. Thus, depression- and anxiety-related psychotherapies should be developed to prevent internet addiction among Chinese adolescents.

Anxiety predicts internet addiction, which predicts depression among male college students: A cross-lagged comparison by sex

Objectives

Internet addiction has become an increasingly serious public health issue, putting young people at particular risk of psychological harm. This study aimed to analyze the interactions between college students' depression, anxiety, and Internet addiction and explore how these interactions differ between men and women.

Methods

A 6-month follow-up study was conducted on 234 college students using the Self-Rating Depression Scale, Self-rating Anxiety Scale, and Revised Chen Internet Addiction Scale.

Results

Depression, anxiety, and Internet addiction were positively correlated (p < 0.01). Anxiety can predict Internet addiction and that Internet addiction can predict depression. Moreover, anxiety had a significant predictive effect on Internet addiction among men.

Conclusion

Anxiety predicts Internet addiction, and Internet addiction predicts depression among male college students. These findings may better inform future Internet addiction intervention strategies. Particularly, interventions may better address Internet addiction by focusing on the role of anxiety, especially among men.

Network analysis of internet addiction and depression among Chinese college students during the COVID-19 pandemic: A longitudinal study

Background

There has been growing evidence of comorbidity between internet addiction and depression in youth during the COVID-19 period. According to the network theory, this may arise from the interplay of symptoms shared by these two mental disorders. Therefore, we examined this underlying process by measuring the changes in the central and bridge symptoms of the co-occurrence networks across time.

Methods

A total of 852 Chinese college students were recruited during two waves (T1: August 2020; T2: November 2020), and reported their internet addiction symptoms and depressive symptoms. Network analysis was utilized for the statistical analysis.

Results

The internet addiction symptoms "escape" and "irritable," and depression symptoms "energy" and "guilty" were the central symptoms for both waves. At the same time, "guilty" and "escape" were identified as bridge symptoms. Notably, the correlation between "anhedonia" and "withdrawal" significantly increased, and that between "guilty" and "escape" significantly decreased over time.

Conclusions

This study provides novel insights into the central features of internet addiction and depression during the two stages. Interestingly, "guilty" and "escape," two functions of the defense mechanism, are identified as bridge symptoms. These two symptoms are suggested to activate the negative feedback loop and further contribute to the comorbidity between internet addiction and depression. Thus, targeting interventions on these internalized symptoms may contribute to alleviating the level of comorbidity among college students.

Public Health Approach to Problems Related to Excessive and Addictive Use of the Internet and Digital Media

Purpose of Review

Advances in digital technology and media have provided convenience and advantages in all areas of our daily lives. However, there is a risk of excessive and addictive use, which increases the risk of addiction as a disease and other related mental and physical problems. This article reviews the public health approach to problems related to excessive and addictive use of the Internet and digital media.

Recent Findings

The public health model views addiction as the result of interactions among individuals, digital media, and the environment; therefore, interventions should aim to reduce risk factors and increase protective factors in these three areas. This includes developing and providing evidence-based services according to each individual's problem type and severity. Regarding interventions for digital media and the environment, restricting accessibility and regulating content may be necessary. This calls for an integrative, comprehensive, and continuous intervention strategy, and to achieve such a framework, we need to establish an information system to monitor the magnitude and patterns of related problems.

Summary

This review suggests a surveillance system that provides a list of evidence-based policies from the public health perspective. Suggestions for an advanced international information, policy, and monitoring system are discussed.

The influence of internet use frequency, family atmosphere, and academic performance on adolescent depression: Based on the chain mediating effect of self-adjustment and campus deviant behavior

Introduction

Depression has become a prominent psychological problem among young people. The purpose of this study was to investigate the potential relationship between the frequency of Internet use, family atmosphere, academic performance, self-adjustment, campus deviant behavior, and depressive symptoms among adolescents.

Methods

Based on the survey data of the fifth wave (2017~2018) and the sixth wave (2019~2020) of the China Family Panel Studies (CFPS), this study used LISREL8.8 software to analyze 1,577 10~15 data on adolescents.

Results

In this study, the mean score of self-adjustment was 42.40 (SD = 6.79), the mean score of campus deviant behavior was 12.59 (SD = 4.00), the mean score of depressive symptoms in 2018 was 11.88 (SD = 3.04), and the mean score of depressive symptoms in 2020 was 7.64 (SD = 2.20). Secondly, the frequency of Internet use had no direct effect on the depressive symptoms of adolescents, family atmosphere was negatively correlated with depressive symptoms (p < 0.005), and academic performance was positively correlated with depressive symptoms (p < 0.005). Depressive symptoms in 2020 had a direct effect (β = 0.37, p < 0.001), and also had a negative effect on depressive symptoms in 2020, with a total effect of-0.07 (p < 0.001); self-adjustment had no direct effect on depressive symptoms in adolescents in 2018, However, the total effect was -0.14 (p < 0.001), which had a significant positive effect on 2020 depressive symptoms, and the total effect was 0.18 (p < 0.001), and self-adjustment had a significant negative effect on adolescent campus deviant behavior (β = -0.38, p < 0.001); in addition, the frequency of Internet use, family atmosphere, and academic performance all had indirect effects on adolescents' 2020 depressive symptoms, with total effects of -0.60, 0.01, and 0.02 (p < 0.001), respectively. This study also found depressive symptoms in adolescents have a certain persistence in time.

Discussion

Based on this study, it is necessary to pay more attention to the depression of adolescents, strengthen the training of self-adjustment, improve the anti-frustration ability and psychological resilience, and reduce the campus deviant behavior of adolescents. It is recommended to try to start from emotional self-adjustment to promote the personality health of adolescents.

Childhood trauma and psychological sub-health among Chinese adolescents: the mediating effect of Internet addiction

BACKGROUND

The factors related to psychological sub-health (PSH) have been widely described, but the research on the mechanism behind the complex relationship between childhood trauma and PSH is limited. This study investigated the current situation and risk factors of PSH among Chinese adolescents. And further, explore whether Internet addiction (IA) plays a potential mediating effect in childhood trauma and PSH.

METHODS

The study was conducted in October 2020 in Anhui Province, China. The PSH state of 866 adolescents was investigated, including demographic information such as gender, age, and grade. Childhood trauma, IA, and PSH were measured by the Childhood Trauma Questionnaire Short Form (CTQ-SF), Young's Internet Addiction Test (IAT), and the Multidimensional Sub-health Questionnaire of Adolescents (MSQA). The mediating effect is further verified by the structural equation model (SEM).

RESULTS

In this study, 866 adolescents were selected as subjects, and the proportion of male and female is roughly equal. The prevalence of PSH in adolescents was 25.8%, and left-behind children, boarding, or adolescents who have had non-suicidal self-injury (NSSI) are more likely to have PSH. Through the mediation test, the direct effect of childhood trauma on PSH was 0.23 (95% CI [4.91,9.00],p <0.001), and the mediating effect of IA on childhood trauma and PSH was 0.07 (95% CI [1.42, 3.32],p <0.001). and the proportion of them is 75.14% and 24.86% respectively.

CONCLUSIONS

Childhood trauma has direct and indirect effects on PSH, and IA plays a mediating effect in the indirect effect. Therefore, clarifying these relationships helps formulate and implement effective interventions to improve psychological health (PH) in Chinese adolescents.

Current Status and Correlation of Physical Activity and Tendency to Problematic Mobile Phone Use in College Students

OBJECTIVE

To explore the effect of problematic mobile phone use on college students' physical activity and their relationships.

METHODS

A cross-sectional study was conducted among 3980 college students from three universities in Jiangsu province by random cluster sampling. The International Physical Activity Questionnaire Short (IPAQ-SF) measured college students' physical activity. The Mobile Phone Addiction Tendency Scale for College Students (MPATS) measured problematic mobile phone use tendencies. College students' physical activity was measured by the International Physical Activity Questionnaire Short (IPAQ-SF), and the Mobile Phone Addiction Tendency Scale measured their mobile phone addiction tendency for College Students (MPATS).

RESULTS

(1) The proportions of the low-, medium-, and high-intensity physical activity were 83.5%, 10.7%, and 5.8%, respectively, with gender differences; The score of problematic mobile phone use tendency was 38.725 ± 15.139. (2) There were significant differences in problematic mobile phone use tendency among college students with different physical activity intensity (F = 11.839, p < 0.001, η² = 0.007). (3) The level of physical activity was significantly correlated with the tendency of problematic mobile phone use (r = -0.173, p < 0.001). (4) Physical activity of college students could significantly predict the tendency of problematic mobile phone use (F (3,3605) = 11.296, p < 0.001).

CONCLUSIONS

The physical activity of college students was mainly moderate to low intensity, while the tendency of problematic mobile phone use was high. College students' physical activity level was one of the important constraints of problematic mobile phone use tendency.

Internet Addiction among Young Adult University Students during the COVID-19 Pandemic: The Role of Peritraumatic Distress, Attachment, and Alexithymia

The literature focused on the effect of the COVID-19 pandemic on young adult university students' mental health shows a significant increase in psychopathological symptoms and Internet Addiction (IA). The key role played by attachment and alexithymia has also been suggested, but no study has explored the possible dynamic relationship between these variables. We recruited a sample of n = 410 young adult university students online. We assessed the attachment to parents and peers (through IPPA), alexithymia (through TAS-20), peritraumatic distress symptoms due to COVID-19 (through CPDI), and IA (through IAT). The results showed that the relationship between the attachment to mothers and IA was partially mediated by alexithymia and by the serial mediation of alexithymia and peritraumatic distress, whereas the influence of the attachment to fathers on IA was fully mediated by peritraumatic distress. The direct effects of the attachment to peers on alexithymia, peritraumatic distress, and IA were all significant, as were the indirect paths via the simple mediation of both alexithymia and peritraumatic distress and the multiple serial mediation of alexithymia and peritraumatic distress. Our findings suggested that the relationship between attachment, alexithymia, and psychopathological risk is dynamic in predicting IA during the pandemic among young adult university students and that the different attachment figures exert a peculiar contribution to these processes.

Changes in the comorbidity patterns of negative emotional symptoms and Internet addiction over time among the first-year senior high school students: A one-year longitudinal study

BACKGROUND

The comorbidity of psychiatric disorders and Internet addiction (IA) has been widely documented. However, changes and instability of the comorbidity between negative emotional symptoms and IA over time are not fully understood.

METHODS

A sample of 453 first-year senior high school students completed all measures three times across one-year period and were included in the current study. The sample consisted of 163 (36.0%) males and 290 (64.0%) females. At the baseline, the mean age of the participants was 15.07 ± 0.46 (range: 12-16) years old. Latent class analysis was used to identify the latent class pattern. Multinomial logistic regression analysis was utilized to examine the association between covariates and latent classes at baseline. Latent transition analysis was applied to explore the changes in latent classes of individuals over time.

RESULTS

Three subgroups of negative emotional symptoms, IA and their comorbidity were identified at all the three time points. Being Internet gamers, high average time of Internet use every day, peer exclusion, verbal and physical bullying experience, and poor self-rated health were found to be significant predictors of the high comorbidity symptom. Students were more likely to remain the same class rather than moving between the latent classes across time.

CONCLUSIONS

A better understanding of change characteristics in latent classes across time contributes to confirm an appropriate time for intervention targeted on students who converted from low symptom class to the high class.

Hierarchical Linear Model of Internet Addiction and Associated Risk Factors in Chinese Adolescents: A Longitudinal Study

The risk effects of internet addiction have been documented in the literature; however, few longitudinal studies have considered the heterogeneity of the subjects. A hierarchical linear model was used here to explore the relationship between adolescents' internet addiction and associated risk factors (depression, anxiety, gender, and obesity) from the perspective of longitudinal analysis. A total of 1033 adolescents were investigated and followed up with every three months with the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), and Internet Addiction Test (IAT). The hierarchical linear model of internet addiction had only two levels. The first level of the model was the time variable (three time points) and the second level of the model was the individual adolescent (1033 adolescents). The results showed that (1) depression and anxiety, as associated risk factors, were significant positive predictors of adolescents' internet addiction considering the developmental trajectory courses of adolescent internet addiction, as well as the individual differences over time; (2) there were gender differences in the adolescents' internet addictions-specifically, the initial level of internet addiction among boys was significantly higher than that of girls, but the rate of decline was significantly faster than that of girls; and (3) there was no significant difference in obesity. The results demonstrated the importance of considering depression, anxiety, and gender in any intervention efforts to reduce adolescents' internet addictions, and we should pay attention to the cultivation of positive coping strategies for Chinese adolescents. The limitations of the study were also discussed.

Examining the predictors of university students' engagement, fear of missing out and Internet addiction in online environments

Purpose

Recently, online learning and online environments have become even more important. Students' engagement, fear of missing out and Internet addiction are seen as interrelated components that affect students' online teaching and learning process. In this context, university students' engagement, fear of missing out and Internet addiction in online environments, the relationship among them and students' demographic characteristics, online environment usage status and Internet usage profiles as their predictors are examined in this study.

Design/methodology/approach

This is a relational study and is carried out with 179 university students. Personal information form, student's engagement, fear of missing out and Internet addiction scales were used as data collection tools. Descriptive statistics, t-test, one-way ANOVA, correlation, hierarchical linear multiple regression analysis are used for the analysis.

Findings

According to the results, variables related to students' demographic characteristics, online environment usage status and Internet usage profiles together significantly predict the students' engagement, fear of missing out and Internet addiction in online environments. When students think positively about taking courses online, their engagement increases accordingly and their fear of missing out levels decrease. Increase in student's academic achievement leads to decline in Internet addiction.

Practical implications

In practice, examining the related variables about students in terms of engagement to the learning environment, fear of missing out and Internet addiction could bring a new perspective to studies on problematic use of the Internet and technology such as nomophobia and digital distraction. The results of this study reveal how and which components to be focused on for increasing the university students' engagement, reducing Internet addiction and fear of missing out in online learning environments.

Originality/value

The findings of this study provide a versatile perspective with the variables of student participation, fear of missing out, Internet addiction and their predictors in online learning environments, which are becoming widespread and increasingly important today and shed light on future researches.

The impact of psychological distress on problematic smartphone use among college students: The mediating role of metacognitions about smartphone use

A mediation model was constructed to clarify the relationship and mechanisms linking psychological distress to problematic smartphone use (PSU), focusing on the mediating role of metacognitions about smartphone use. A questionnaire method was used to investigate psychological distress, metacognitions about smartphone use, and problematic smartphone use among 664 college students. The results showed that (1) psychological distress had a significant positive predictive effect on problematic smartphone use, and (2) there were differences in the underlying mechanisms linking different types of psychological distress to problematic smartphone use. Specifically, negative metacognition about smartphone use partially mediated the relationship between depression and problematic smartphone use, whereas anxiety could act on problematic smartphone use through the parallel mediation of positive metacognition about smartphone use and negative metacognition about smartphone use, with the latter having a greater positive mediating effect than the former. These findings reveal the mechanism of action linking different types of psychological distress to problematic smartphone use from the perspective of the cognitive-behavioral model of pathological Internet use, which has implications for the prevention and intervention of problematic smartphone use among college students.

Internet addiction among teenagers in a Chinese population: Prevalence, risk factors, and its relationship with obsessive-compulsive symptoms

BACKGROUND AND AIMS

Internet addiction (IA) among teenagers has been reported frequently in China, although research has seldom focused on vocational high school students. This study investigated the prevalence and risk factors among this special adolescent population. Moreover, we illustrate the complex relationship between obsessive-compulsive (OC) symptoms, insomnia, psychological states, and IA.

METHODS

A cross-sectional design was applied to collect information from three different vocational high schools in Hunan Province, China. Socio-demographic characteristics, OC symptoms, insomnia, depression, anxiety, and stress symptoms were compared between the IA and non-IA groups. Then, a structural equation model (SEM) was established to test our hypothesis regarding different paths from OC symptoms to IA.

RESULTS

IA prevalence was 13.4% among 7990 vocational high school students. Individuals with IA were more likely to be male and students with more severe depression, stress, anxiety, and insomnia symptoms (all p < 0.001). SEM verified that OC symptoms were related to IA both directly and indirectly, where the latter relationship was mediated through insomnia or mental disorders.

LIMITATIONS

This study cannot confirm the causal relationships among the variables and should be generalized cautiously to other groups.

CONCLUSIONS

More attention should be paid to Chinese vocational high school students, especially those with more severe OC symptoms, poor mental health, and insomnia. We should consider OC symptoms, insomnia, psychological suffering, and IA together when addressing related problems.

Female career interruption and social integration: An interaction between human capital and new media use

Promoting the social integration of various groups provides a significant guarantee for China to achieve high-quality development. However, female workers, as the main force of the service industry, had suffered a greater occupational impact due to COVID-19 and loosened China’s fertility policy in 2021. After female career interruption, the change in women’s social roles and networks has aroused concern about their social integration. However, limited attention had been paid to female career interruption in existing studies about social integration. Therefore, this study developed a theoretical model to explore the relationship between female career interruption and social integration. An empirical test using data from the fourth Chinese Women’s Social Status Survey of Hainan Province was applied to evaluate the hypotheses. The results indicate that there is a significantly negative correlation between female career interruption and social integration. And there is a difference among female career interrupters with different quantiles of social integration. Furthermore, the impact of human capital on the link between female career interruption and social integration depended on the type of new media use. When female career interrupters who use strong learning-oriented new media (such as learning about news, working/business, studying online, and investing/financial management) encounter human capital, the relationship between female career interruption and social integration is minimal. In contrast, this relationship is enhanced when female career interrupters who use strong amusing-oriented new media (such as online consumption, chatting, entertainment, and games) are confronted with human capital. Meanwhile, the results of quantile regression show that the secondary moderating effect of learning-oriented new media use gradually weakens with the rise of the quantile of female social integration. And so does amusing-oriented new media use. However, a moderating effect of human capital alone is not found.

Normative Data for Adult Mandarin-Speaking Populations: A Systematic Review of Performance-Based Neuropsychological Instruments

OBJECTIVES

Normative data are essential for neuropsychological evaluations, but they are scarce for Mandarin-speaking populations, despite Mandarin being the language with the most native speakers. Several normative data studies have been reported in recent years for Mandarin speakers, who reside in different countries/regions (e.g., mainland China, Taiwan, and Singapore, etc.). This review aims to serve as a reference guide to appropriate norms when working with a Mandarin-speaking patient and to guide future endeavors in test validation and development in areas where studies to date fall short.

METHOD

We conducted a systematic review utilizing the PsycInfo, PubMed, and China Knowledge Resource Integrated databases as well as additional literature search through citations. We performed evaluations of the existing norms based on their test selection, cognitive domains covered, sample size, language, regions of participant recruitment, stratification by age/gender/education levels, and reporting of other psychometric properties. We focused on articles that included performance-based tests for adults but excluded those with purely clinical norms or from commercial publishers.

RESULTS

We reviewed 1155 articles found through literature search and identified 43 articles reporting normative data for this population that met our inclusion criteria. Sixty-five distinctive tests and 127 versions were covered. The results are presented within two detailed tables organized by articles and tests, respectively.

CONCLUSIONS

We discussed the strengths and limitations of these normative reports. Practitioners are recommended to utilize normative data that most closely approximate a test-taker's cultural and demographic backgrounds. Limitations of the current review are also discussed.

A bidirectional association between internet addiction and depression: A large-sample longitudinal study among Chinese university students

BACKGROUND

Internet addiction (IA) is associated with adverse consequences, especially for younger people. Evidence indicates that IA is associated with depression, but no studies have yet investigated potential common vulnerability between them.

METHODS

IA (measured by the Young's 20-item Internet Addiction Test Scale) and depressive symptoms (measured by the Patient Health Questionnaire-9 Scale) among 12 043 undergraduates were surveyed at baseline and at a respective 12 month follow-up for each participant. Application of a cross-lagged panel model approach (CLPM) revealed an association between IA and depression after adjusting for demographic variables.

RESULTS

Rates of baseline IA and depression were 5.47% (95% CI: 5.07%, 5.88%) and 3.85% (95% CI: 3.51%, 4.20%), respectively; increasing to 9.47% (95% CI: 8.94%, 9.99%) and 5.58% (95% CI: 5.17%,5.99%), respectively, at follow-up. Rates of new-incidences of IA and depression over 12 months were 7.43% (95% CI: 6.95%, 7.91%) and 4.47% (95% CI: 4.09%, 4.84%), respectively. Models in the present analysis revealed that baseline depression had a significant net-predictive effect on follow-up IA, and baseline IA had a significant net-predictive effect on follow-up depression.

LIMITATIONS

The follow-up survey response rate was moderate (54.69%) in this analysis of university students. Moreover, the IAT-20 scale did not allow differentiate between specific forms of Internet activity.

CONCLUSIONS

Common vulnerability and bidirectional cross-causal effects may both contribute to the association between IA and depression, with common vulnerability likely playing a more significant role than cross-causal effects.

Co-occurrence of Adult ADHD Symptoms and Problematic Internet Use and Its Links With Impulsivity, Emotion Regulation, Anxiety, and Depression

The co-occurrence of attention-deficit/hyperactivity disorder (ADHD) and problematic Internet use (PIU) is associated with increased severity of PIU and poorer treatment outcomes. The main objective of this study was to examine the association between PIU and adult ADHD symptoms and determine whether adult ADHD symptoms were a predictor of PIU in the general adult population. We also examined the potential mediating role of the dimensional psychopathological factors, including anxiety, depression, impulsivity, and emotion regulation, in this relationship. To achieve these aims, we recruited 532 regular Internet users online from the general adult population. The participants completed an online questionnaire assessing PIU (Internet Addiction Test), anxiety and depression symptoms (Hospital Anxiety and Depression Scale), adult ADHD symptoms (Adult ADHD Self-Report Scale-V1.1), emotion regulation (Emotion Regulation Questionnaire), and impulsivity (UPPS-P Impulsive Behavior Scale). We conducted a multiple regression analysis to determine the predictors of PIU and mediation analyses to identify the psychopathological mediators of the association between adult ADHD symptoms and PIU. PIU was observed in 17.9% of our sample. A significantly higher proportion of respondents with PIU screened positive for adult ADHD symptoms compared to respondents without PIU (50.5 vs. 21.7%; p < 0.001). Individuals with PIU reported significantly higher scores than those without PIU for anxiety and depressive symptoms, impulsivity, and the emotion regulation strategy of expressive suppression. Additionally, they had significantly lower scores than those without PIU on cognitive reappraisal than non-problematic Internet users. In addition to adult ADHD symptoms, the multiple regression analysis revealed that PIU was also positively predicted by depressive symptoms, positive urgency, lack of perseverance, and expressive suppression, and is negatively predicted by cognitive reappraisal and negative urgency. The mediation analysis showed that lack of perseverance, positive urgency, and depressive and anxiety symptoms were partial mediators of the relationship between adult ADHD symptoms and PIU. Our results highlight the significant co-occurrence of PIU and adult ADHD symptoms. This study also provides support for a theoretical model in which impulsivity dimensions, emotion regulation strategies, as well as the tendency to anxiety and depressive symptoms, may play a mediating role in this co-occurrence. In summary, the findings emphasize the need to assess these psychological characteristics in problematic Internet users, as they can be a factor of clinical complexity, as well as the importance of targeting them as part of integrated interventions for both adult ADHD symptoms and PIU.

Prevalence and predictors of the persistence and incidence of adolescent internet addiction in Mainland China: A two-year longitudinal study

Internet addiction (IA), which can have different development patterns, is considered a serious problem among adolescents. Due to the increasing number of adolescent internet users in Mainland China, professionals are obligated to investigate the prevalence and predictors of IA persistence and incidence. This study investigated the prevalence of IA persistence and incidence among 1301 students in Mainland China across two years using a two-wave longitudinal design. Of the 187 students with IA in 7th grade, 40.64% had a persisting addiction by grade 9. Of the 1114 students without an IA in 7th grade, 10.32% had developed an IA by grade 9. Multilevel logistic regression analyses indicated that higher levels of depressive symptoms (odds ratio = 1.04; p = .04) and maternal education (odds ratio = 2.23; p = .01) could increase the likelihood of IA persistence. Significant predictors of IA incidence were being male (odds ratio = 0.59; p = .03), being an only child (odds ratio = 1.91; p = .01), having a low family income (odds ratio = 1.21; p < .001), and experiencing school maladjustment (odds ratio = 1.01; p < .01).

A cross-lagged panel model for testing the bidirectional relationship between depression and smartphone addiction and the influences of maladaptive metacognition on them in Chinese adolescents

AIMS

Despite the high prevalence of both depression and smartphone addiction among Chinese adolescents, research examining their bidirectional relationship has been limited. Moreover, longitudinal research regarding the influence of maladaptive metacognitive beliefs on smartphone addiction is scarce. This 6-month longitudinal study aimed to address these research gaps by testing a cross-lagged panel model of maladaptive metacognition, depression, and smartphone addiction.

METHODS

Four hundred and fifty-nine Chinese high school students voluntarily completed an anonymous questionnaire at baseline, and 313 of them (36.1% male; age = 14 to 18; M = 16.88, SD = 0.62) completed the same questionnaire at follow-up.

RESULTS

Positive correlations were shown among depression, smartphone addiction, and maladaptive metacognition at both waves (r = 0.16 to 0.57, p < .01). The results of the cross-lagged analysis demonstrated only the prospective effect of depression on smartphone addiction (β = 0.18, p < .001) but not vice versa. Moreover, maladaptive metacognition assessed at baseline significantly predicted subsequent depression (β = 0.14, p < .01) but not smartphone addiction (p>.05). Additional path analysis showed a significant indirect effect of baseline maladaptive metacognition (0.099 [95% CI = 0.042, 0.183]) on subsequent smartphone addiction, via depression.

CONCLUSIONS

Findings of this study showed that the relationship between depression and smartphone addiction was unidirectional rather than bidirectional among Chinese adolescents. Specifically, depression predicted smartphone addiction, while maladaptive metacognition predicted depression. Depression also mediated the relationship between maladaptive metacognition and smartphone addiction. The findings suggest that incorporating metacognition and depression interventions into smartphone addiction prevention designs for adolescents may be beneficial.